DocumentCode
246674
Title
MLFMA memory reduction techniques for solving large-scale problems
Author
Hidayetoglu, Mert ; Gurel, Levent
Author_Institution
Bilkent Univ. Comput. Electromagn. Res. Center (BiLCEM), Ankara, Turkey
fYear
2014
fDate
6-11 July 2014
Firstpage
749
Lastpage
750
Abstract
We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of these methods uses data structures out of core, and the other parallelizes the data structures related to input geometry. With these methods, large-scale electromagnetic scattering problems can be solved on modest parallel computers.
Keywords
computational geometry; data structures; electrical engineering computing; electromagnetic wave scattering; iterative methods; parallel algorithms; storage management; MLFMA memory reduction techniques; data structures out-of-core; input geometry; large-scale electromagnetic scattering problems; parallel computers; parallel multilevel fast multipole algorithm; Computational electromagnetics; Data structures; Disk drives; Electromagnetic scattering; Geometry; MLFMA; Memory management;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location
Memphis, TN
ISSN
1522-3965
Print_ISBN
978-1-4799-3538-3
Type
conf
DOI
10.1109/APS.2014.6904704
Filename
6904704
Link To Document